Computable measure theory - part of computable analysis that deals with effective versions of measure theory. Article "Computable measure theory" in English Wikipedia has 1.7 points for quality (as of November 1, 2023).
Since the creation of article "Computable measure theory", its content was written by 6 registered users of English Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 1 times in English Wikipedia and cited 1 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | English: #2002758 01.2008 |
Global: #3557819 06.2008 |
| Best Rank | English: #138914 06.2004 |
Global: #212241 06.2004 |
On 25 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: UEFA Euro 2024, Julian Assange, UEFA European Championship, UEFA Euro 2020, Shifty Shellshock, 2024 Copa América, WikiLeaks, YouTube, Inside Out 2, House of the Dragon.
In English Wikipedia the most popular articles on that day were: UEFA Euro 2024, Julian Assange, Shifty Shellshock, Florida Panthers, List of Stanley Cup champions, Paul Maurice, Connor McDavid, Matthew Tkachuk, Deaths in 2024, House of the Dragon.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.46+0+0+7.14+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
